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Statistical Tools in the Joint Analysis of Closed and Open-Ended Questions

In: Survey Data Collection and Integration

Author

Listed:
  • Simona Balbi

    (University of Naples Federico II, Department of Mathematics and Statistics)

  • Nicole Triunfo

    (University of Naples Federico II, Department of Mathematics and Statistics)

Abstract

The paper aims at presenting some statistical exploratory methods useful in the joint analysis of data collected in a survey, by means of closed and open-ended questions. After a quick review of the main steps necessary for transforming texts in a numerical table, we focus our attention on Lexical Correspondence Analysis. This method is a popular technique for analysing a lexical table obtained by cross-classifying respondents and free responses. As our interest is often in measuring and visualising the association between socio-demographic characteristics and lexical behaviour, the modalities of one or more closed-ended questions are used both for aggregating individuals similar with respect to the considered variables and reducing the sparseness of the lexical table. Dealing with textual data, the effectiveness of a non symmetrical variant of correspondence analysis is introduced. Furthermore, the advantages of asking a free description of the desired product in a conjoint analysis questionnaire is shown, by applying a factorial conjoint analysis with the lexical table as external information.

Suggested Citation

  • Simona Balbi & Nicole Triunfo, 2013. "Statistical Tools in the Joint Analysis of Closed and Open-Ended Questions," Springer Books, in: Cristina Davino & Luigi Fabbris (ed.), Survey Data Collection and Integration, edition 127, pages 61-72, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-21308-3_4
    DOI: 10.1007/978-3-642-21308-3_4
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